Working with molecular structures in pandas DataFrames

Seamlessly switch Pandas DataFrame backend to PyArrow.

A native Rust library for Delta Lake, with bindings into Python

Converts payroll documents from the format required by the Students of Georgetown, Inc's internal employee management site to the format required by Paylocity.

This project aims to analyze sales data during the Diwali festival using Python. The analysis focuses on identifying key trends, customer purchasing behavior, and sales performance across different segments. By leveraging data visualization and statistical analysis, we uncover insights.

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

Developed and implemented an advanced CCFDS using ML algorithms and pattern recognition techniques. Integrated real-time monitoring and adaptive learning capabilities into the system to dynamically adjust fraud detection parameters, ensuring effectiveness in identifying emerging fraud patterns.

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics and plot visualizations from Phase 1 of Mahdavi & Siegel (2020) (Aerosol Science & Technology) Project Miestone: 2017 - 2020 Full-length article: https://www.tandfonline.com/doi/full/10.1080/02786826.2020.1774492

A Alura disponibilizou um desafio de 7 dias analisando dados sobre empréstimos da biblioteca da UFRN. A base de dados tem informações dos empréstimos desde o primeiro semestre de 2010 até o primeiro semestre de 2020. Nesse desafio eu utilizei a biblioteca Pandas para a análise.

A Python script that enables auto-inserting movie ratings into the IMDB profile.

Sharing all the codes for the data pipelines processing, machine learning, statistical modellings, descriptive statistics and plot visualizations from Phase 2 of Mahdavi & Siegel (2020) (Aerosol Science & Technology) Project Miestone: 2017 - 2020 Full-length article: https://www.tandfonline.com/doi/full/10.1080/02786826.2020.1774492

A light-weight, flexible, and expressive statistical data testing library

Jupyter magics and kernels for working with remote Spark clusters

The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

This repository consists of classification of snakes species. It shows the whole progress and model used to achieve final accuracy. The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet. The final accuracy was achieved using transfer learning with model MobileNetV2

Analyse des données d'une étude sur les patients drépanocytaires

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Classifying URLs into Productive or Non-productive based on their web content

Data Analysis From ATM Transactions from kaggle

Sensor data visualization tool.